Instructions to use hkondle/CapstoneMainModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hkondle/CapstoneMainModel with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="hkondle/CapstoneMainModel")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hkondle/CapstoneMainModel") model = AutoModelForMultimodalLM.from_pretrained("hkondle/CapstoneMainModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 695 Bytes
bb2798e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"_from_model_config": true,
"bos_token_id": 30522,
"diversity_penalty": 0.0,
"do_sample": false,
"early_stopping": false,
"encoder_no_repeat_ngram_size": 0,
"eos_token_id": 2,
"length_penalty": 1.0,
"max_length": 20,
"min_length": 0,
"no_repeat_ngram_size": 0,
"num_beam_groups": 1,
"num_beams": 1,
"num_return_sequences": 1,
"output_attentions": false,
"output_hidden_states": false,
"output_scores": false,
"pad_token_id": 0,
"remove_invalid_values": false,
"repetition_penalty": 1.0,
"return_dict_in_generate": false,
"temperature": 1.0,
"top_k": 50,
"top_p": 1.0,
"transformers_version": "5.0.0",
"typical_p": 1.0,
"use_cache": true
}
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